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Abstract #3293

Super-resolution reconstruction of single-PLD pseudo-continuous ASL images

Piet Bladt1, Quinten Beirinckx1, Merlijn C.E. van der Plas2, Sophie Schmid2, Wouter M Teeuwisse2, Ben Jeurissen1, Arnold J den Dekker1, Jan Sijbers1, and Matthias J.P. van Osch2,3
1imec - Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium, 2C.J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, 3Leiden Institute of Brain and Cognition, Leiden University, Leiden, Netherlands

Super-resolution reconstruction (SRR) allows for high-resolution image reconstruction from a set of low-resolution multi-slice images with different orientations. Arterial spin labeling (ASL) is an interesting albeit complicated candidate for SRR, as it relies on subtraction. SRR-ASL can be performed on low-SNR subtracted or on low-contrast unsubtracted ASL data. Different ASL-SRR implementations were applied to single-PLD PCASL data and validated against traditional ASL-scans. Combining motion correction, super-resolution post-processing and pairwise subtraction of label-control pairs in a single framework yielded comparable CBF maps as with traditional HR-ASL. Furthermore, in certain slices, SRR-ASL appears to reconstruct the underlying anatomical structure with higher fidelity.

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